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SOSIoT: SOS optimisation to leverage the energy efficient internet of things based on route search optimisation

机译:SOSIoT:基于路线搜索优化的SOS优化以利用节能的物联网

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Internet of things (IoT) has become popular in smart vision of world development. It is more and more complex due to billions of heterogeneous wireless devices communicating each other. Each wireless sensor node or device consumes more energy for its communication. There are various techniques for reduction of this energy such as low energy routing algorithm by using particle swam optimisation (PSO) and advances in heuristic techniques with symbiotic organism search (SOS). But these techniques are inefficient due to direct deployment of sensor nodes in the network without considering the more energy consume when transmitting. This paper proposes an SOS internet of things (SOSIoT) technique that deals and regulates energy factors in IoT efficiently. It is a self-adaptive technique that aims to minimise the energy harvesting in significant manner on IoT. Finally, it presents a comparative result against existing methods on energy consumption factors. The impact of SOSIoT and optimal techniques battery life of smart devices increased up to the 40% to 60%.
机译:物联网(IoT)在世界发展的明智愿景中已变得流行。由于数十亿个异构无线设备相互通信,因此它变得越来越复杂。每个无线传感器节点或设备都消耗更多的能量进行通信。减少能量的方法有很多种,例如通过使用粒子游动优化(PSO)的低能量路由算法,以及具有共生生物搜索(SOS)的启发式技术的进步。但是,由于在网络中直接部署传感器节点而未考虑传输时消耗的更多能量,因此这些技术效率不高。本文提出了一种SOS物联网(SOSIoT)技术,该技术可有效处理和调节IoT中的能源因素。它是一种自适应技术,旨在以显着方式最大程度地减少物联网上的能量收集。最后,它提供了与现有方法在能耗因素上的比较结果。 SOSIoT和最佳技术的影响,智能设备的电池寿命增加了40%至60%。

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